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Automatic detection of brown hens in cage-free houses with deep learning methods
: Computer vision technologies have been tested to monitor animals’ behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, it
Yangyang Guo +4 more
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Research on Online Listening Behavior Recognition Model Based on Improved YOLOv8 Algorithm [PDF]
Target detection technology is advancing, but recognizing online listening behavior remains a challenge. Inaccurate identification of online classroom conduct and high model computation owing to limited human supervision and complex target detection ...
LI Mengkun, YUAN Chen, WANG Qi, ZHAO Chong, CHEN Jingxuan, LIU Lifeng
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Leaf Segmentation Using Modified YOLOv8-Seg Models
Computer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research.
Peng Wang +6 more
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Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming and low in ...
Yafei Jing +4 more
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Graphite ore grade sorting is a key step toward intelligent mineral processing; however, it faces three representational contradictions: ambiguous classification posteriors at grade boundaries, asymmetric multi-scale feature interaction, and the mismatch
Yanwu Yi +4 more
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To reduce production costs, environmental effects, and crop losses, tomato leaf disease recognition must be accurate and fast. Early diagnosis and treatment are necessary to cure and control illnesses and ensure tomato output and quality. The YOLOv5m was
Yong-Suk Lee +5 more
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EfficientRDet: An EfficientDet-Based Framework for Precise Ship Detection in Remote Sensing Imagery
Detecting arbitrarily oriented ships in remote sensing images remains challenging due to diverse orientations, complex backgrounds, and scale variations, leading to a struggle in balancing detector accuracy with efficiency.
Weikang Zuo, Shenghui Fang
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Pneumonia remains a significant global health threat, especially in vulnerable populations, and early, accurate diagnosis is critical for effective intervention.
Kerang Cao +3 more
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Weed detection is an important part of precision agriculture because it allows farmers to manage weeds more efficiently and reduce unnecessary herbicide use.
Anindita Das +2 more
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A Green Jujube Grading Model Using BiFPN and COT Attention Mechanism
The grading of green jujube is a key factor in improving production efficiency and market competitiveness. However, traditional grading methods are inefficient, imprecise, and struggle to detect minor damages.
Pengyan Chang +4 more
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